vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- [Bugfix] Clamp offloading load path to hash-backed GPU blocks
- [ROCm] Add tuned MoE configs for Radeon 8060S (gfx1151)
- [ROCm] Fix get_device_name crash with TheRock/MagicMock amdsmi stub
- [Models] Fix Qwen3.5 MTP with GPTQ/AWQ quantization
- [MoE Refactor] Add MoEKernelOracle ABC base class and migrate Unquantized oracle
- [Bugfix] Reject non-positive num_gpu_blocks_override in CacheConfig
- [Bug]: vLLM hangs when sending a request with "response_format" key for early unsuppoted models like Minimax-M2.5
- [Perf] Add tuned Triton fused MoE configs for NVIDIA H20 (fp8_w8a8)
- [Bugfix][Structured Output][Spec Decode] Constrain bitmask at reasoning boundary
- [Feature]: Could you help with implement the KV cache pruning feature on vLLM?
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